論文 - 山森 一人
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Stochastic analysis of OneMax problem using Markov chain
Ma Q., Zhang Y., Koga K., Yamamori K., Sakamoto M., Furutani H.
Artificial Life and Robotics 17 ( 3-4 ) 395 - 399 2013年
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：Artificial Life and Robotics
Experimental and analytical investigations are performed for OneMax problem using Wright-Fisher model. This study investigates the distribution of the first order schema frequency in the evolution process of Genetic Algorithm (GA). Effects of mutation in GA are analyzed for the standard mutation and asymmetric mutation models. If a population is in linkage equilibrium, it can be shown that OneMax problem is equivalent to the asymmetric mutation model. Thus, we can apply theoretical results obtained in the asymmetric mutation model to OneMax problem and investigate the convergence time of GA calculation within the framework of Wright-Fisher model. © 2012 ISAROB.
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Analysis of genetic disease hemophilia B by using support vector machine
Aoki K., Yamamori K., Sakamoto M., Furutani H.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7666 LNCS ( PART 4 ) 476 - 483 2012年11月
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hemophilia B is a genetic disease resulting from deficiency of factor IX. The database of mutations causing hemophilia B has been developed by the world wide collaboration. Most common mutations are amino acid changing substitutions, which we call missense mutations, and factor IX activity is closely related to the type and position of a substitution. In this study, we examined the relation between clotting level of factor IX and the type of a missense mutation by using Support Vector Machine (SVM). As parameters, we used four physical-chemical parameters of amino acids and a special flag variable representing amino acid cysteine. As a result, EGF(1st) and EGF(2nd) have the relationship in the prediction of serious or slight illness in hemophilia B. Cysteine substitution parameters influence the prediction in Activation region. © 2012 Springer-Verlag.
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Kunihito Yamamori, Takuro Matsuo, Junichi Iwakiri, Naoya Kenmochi, Ikuo Yoshihara
Artificial Life and Robotics 17 ( 3-4 ) 405 - 411 2012年11月
記述言語：英語 掲載種別：研究論文（学術雑誌）
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構造モデルに基づく塩基配列からのboxC/D型snoRNA遺伝子検出法
山森一人，薛晨，岩切淳一，剣持直哉，吉原郁夫
情報処理学会研究報告 2012-MPS-90 ( 21 ) 1 - 6 2012年9月
記述言語：日本語 掲載種別：研究論文（その他学術会議資料等）
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Linuxサーバ向け省電力設定支援ツールLPSTの開発
山森一人，椋毛雅知，吉原郁夫，相川勝
宮崎大学工学部紀要 ( 41 ) 317 - 321 2012年7月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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プラスチック部品の不良品判別の自動化法
吉原郁夫，東上床武史，山森一人，関根誠，安永守利
宮崎大学工学部紀要 ( 41 ) 343 - 348 2012年7月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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多倍長計算ソフトウェアの開発
吉原郁夫，本田詩織，坂本亜衣，山森一人，棟朝雅晴
宮崎大学工学部紀要 ( 41 ) 337 - 341 2012年7月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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多倍長の円周率計算
吉原郁夫，坂本亜衣，本田詩織，山森一人，棟朝雅晴
宮崎大学工学部紀要 ( 41 ) 331 - 335 2012年7月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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大規模TSP向けハイブリッドGAの交叉法の改善
吉原郁夫，前田晴信，山森一人，相川勝，安永守利
宮崎大学工学部紀要 ( 41 ) 327 - 329 2012年7月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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GPGPUを用いた並列DPマッチングによる大域アラインメントの高速化
山森一人，河野忠明，吉原郁夫，相川勝
宮崎大学工学部紀要 ( 41 ) 323 - 326 2012年7月
記述言語：日本語 掲載種別：研究論文（大学，研究機関等紀要）
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Asynchronous migration for parallel genetic programming on a computer cluster with multi-core processors 査読あり
Shingo Kurose, Kunihito Yamamori, Masaru Aikawa, Ikuo Yoshihara
Artificial Life and Robotics 16 ( 4 ) 533 - 536 2012年3月
記述言語：英語 掲載種別：研究論文（学術雑誌）
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A detection method for intronic snoRNA genes using extended-weight-updating SOM with appearance probability of bases 査読あり
Takuro MATSUO, Junichi IWAKIRI, Kunihito YAMAMORI, Naoya KENMOCHI, Ikuo YOSHIHARA
Proc. 17th International Symposium on Artificial Life and Robotics 133 - 136 2012年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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A method to detect intronic snoRNA genes using characteristic base patterns of DNA sequences 査読あり
Chen XUE, Junichi IWAKIRI, Kunihito YAMAMORI, Naoya KENMOCHI, Ikuo YOSHIHARA
Proc. 17th International Symposium on Artificial Life and Robotics 137 - 140 2012年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Stochastic analysis of OneMax problem by using Markov chain 査読あり
QingLian Ma, Yu-an Zhang, Kiminobu Koga, Kunihito Yamamori, Makoto Sakamoto, Hiroshi Furutani
Proc. 17th International Symposium on Artificial Life and Robotics 141 - 145 2012年1月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）
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Classification of species by information entropy and visualization by self-organizing map
Nishimuta K., Yoshihara I., Yamamori K., Yasunaga M.
Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 371 - 374 2011年12月
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11
Most analysis methods of base sequences are based on the idea of pattern matching, but feature patterns known until today are supposedly a part of all the patterns hidden in base sequences. We develop a novel analyzing method based on disorder of base sequences, for example variance of data, 1/f fluctuation, information entropy and self-information. We try to classify species based on self-information of base sequences. Relations between species are visualized by self-organizing map (SOM). It is probable that neighboring regions of the SOM corresponds to near species. We compare neighboring regions of the SOM with neighboring branches of an evolutionary tree produced by the Clustal-W system. © 2011 ISAROB.
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サンプル選別と拡張重み更新型SOMを統合した たんぱく質発現量からの食品機能性推定法 査読あり
山森一人，吉原郁夫，江藤望，西山和夫
情報処理学会論文誌 数理モデル化と応用 4 ( 4 ) 69 - 80 2011年11月
記述言語：日本語 掲載種別：研究論文（学術雑誌）
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食品成分の網羅的な機能性評価法(<特集>食の機能・安全を科学する-おいしさから生理活性,安全性の評価まで)
江藤 望, 山森 一人, 永濱 清子, 榊原 陽一, 西山 和夫, 吉原 郁夫, 水光 正仁, 宮崎大学農学部応用生物科学科:宮崎県産業支援財団, 宮崎大学工学部情報システム工学科, 宮崎県産業支援財団, 宮崎大学農学部応用生物科学科:宮崎県産業支援財団, 宮崎大学農学部応用生物科学科, 宮崎大学工学部情報システム工学科, 宮崎大学農学部応用生物科学科:宮崎県産業支援財団
生物工学会誌 89 ( 10 ) 589 - 592 2011年10月
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：日本生物工学会
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Markov chain analysis of genetic algorithms for 3-SAT problem
Ma Q., Zhang Y., Yamamori K., Sakamoto M., Furutani H.
Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011 2 1101 - 1105 2011年10月
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011
There are many works to solve NP-complete problems by using Genetic Algorithms(GAs). The satisfiability (SAT) problem is the first proposed NP-complete problem, and plays a central role in computer science. However, the application of GAs to SAT problems may require the high performance computing, and it is necessary to obtain runtime properties of the problem. To solve this problem, we investigated the distribution of the first hitting time T for 3-SAT problems within the framework of Markov chain model. We define T as the first time of finding a solution instance in a population. We also explored the success probability S, first hitting time T̃ in the stationary distribution and survival time a in the GA on 3-SAT problem. We focused on the relations between these quantities, and got the result of T̃ = a/S. Furthermore, we give the functional form for the distributions of T and T̃, and compared them with numerical experiments. © 2011 IEEE.
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Efficient approach for simultaneous estimation of multiple health-promoting effects of foods
Nagahama K., Eto N., Yamamori K., Nishiyama K., Sakakibara Y., Iwata T., Uchida A., Yoshihara I., Suiko M.
Journal of Agricultural and Food Chemistry 59 ( 16 ) 8575 - 8588 2011年8月
記述言語：日本語 掲載種別：研究論文（学術雑誌） 出版者・発行元：Journal of Agricultural and Food Chemistry
The investigation of new food constituents for purposes of disease prevention or health promotion is an area of increasing interest in food science. This paper proposes a new system that allows for simultaneous estimation of the multiple health-promoting effects of food constituents using informatics. The model utilizes expression data of intracellular marker proteins as descriptors that reply to stimulation of a constituent. To estimate three health-promoting effects, namely, cancer cell growth suppression activity, antiviral activity, and antioxidant stress activity, each model was constructed using expression data of marker proteins as input data and health-promoting effects as the output value. When prediction performances of three types of mathematical models constructed by simple, multiple regressions, or artificial neural network (ANN), were compared, the most adequate model was the one constructed using an ANN. There were no statistically significant differences between the actual data and estimated values calculated by the ANN models. This system was able to simultaneously estimate health-promoting effects with reasonable precision from the same expression data of marker proteins. This novel system should prove to be an interesting platform for evaluation of the health-promoting effects of food. © 2011 American Chemical Society.
DOI： 10.1021/jf201836g
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Markov Chain Analysis of Genetic Algorithms for 3-SAT Problem 査読あり
QingLian MA, Yu-an Zhang, Kunihito Yamamori, Makoto Sakamoto, Hiroshi Furutani
Proc. 2011 Seventh International Conference on Natural Computation 1127 - 1131 2011年7月
記述言語：英語 掲載種別：研究論文（国際会議プロシーディングス）